A systematic review of 35 studies demonstrates that machine learning models analyzing structured clinical, imaging, and ...

Machine learning has emerged as a transformative approach in the assessment and diagnosis of autism spectrum disorder by analysing complex behavioural, physiological and video data. Through algorithms ...

A systematic review of 133 studies published from 1998 to 2026 examines how urban travel mode choice modelling evolved from ...

Machine learning and artificial intelligence are popular buzzwords for today's IT professionals, but in the case of your organization's data centers, they hold real promise. ML software actively ...

This activity was supported by a contract between the National Academy of Sciences and Open Philanthropy. Any opinions, findings, conclusions, or recommendations expressed in this publication do not ...

Decades of research and practice in the safety 1 engineering of physical systems has produced a body of knowledge that includes rigorous approaches, tools, and artifacts for modeling analyzing and ...

This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...

Two-dimensional (2D) materials have shown extraordinary potential in electrocatalytic reactions due to their unique structural and electronic properties. In a new review published in AI Mater., first ...

All materials contain inherent defects. These are not always harmful, since they can be used to engineer and introduce ...

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...

“To maximize the likelihood that applications and patents will be found eligible under Section 101 by the USPTO and courts [after Recentive], applicants should carefully craft a narrative of a ...